Circulating miR-216a as a biomarker of metabolic alterations and obesity in women

Indira G. C. Vonhogen, Zenab Mohseni, Bjorn Winkens, Ke Xiao, Thomas Thum, Martina Calore, Paula A. da Costa Martins, Leon J. de Windt*, Marc E. A. Spaanderman, Chahinda Ghossein-Doha

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Obesity leads to an amplified risk of disease and contributes to the occurrence of type 2 diabetes, fatty liver disease, coronary heart disease, stroke, chronic kidney disease and various types of cancer. MicroRNAs (miRNAs), small non-coding RNA molecules of 20-25 nucleotides, can remain stable in plasma and have been studied as potential (predictive) biomarkers for obesity and related metabolic disorders. The aim of this study was to identify circulating miRNAs as biomarkers for obesity status and metabolic alterations in women. Circulating miR-216a and miR-155-5p were selected by miRNA expression profiling and validated by real time quantitative PCR in a validation cohort of 60 obese women and 60 normal weight-age-matched control women. This was supplemented by correlation analysis of the candidate miRNA and anthropometric variables, blood biochemistry and lipid profile markers. Circulating miR-216a was validated as a biomarker of obesity status with significantly reduced levels in obese women. Interestingly, this was associated with a negative correlation between the plasma miR-216a content and body mass index (BMI), waist circumference, mean arterial pressure (MAP), triglycerides, ratio of total cholesterol/high density lipoprotein (HDL)-cholesterol and high sensitivity-C reactive protein (hs-CRP).Taken together, we provide evidence for an abnormally expressed circulating miRNA, miR-216a, with additive value as a predictive marker for obesity that correlates with metabolic alterations presented by lipid profile and inflammatory markers.

Original languageEnglish
Pages (from-to)144-152
Number of pages9
JournalNon-Coding rna research
Volume5
Issue number3
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Biomarker
  • CLUSTERS
  • COMPARATIVE RISK-ASSESSMENT
  • DISEASE
  • GENE-EXPRESSION
  • GLOBAL BURDEN
  • MICRORNAS
  • MIRNAS
  • Metabolic syndrome
  • Obesity
  • PROFILE
  • SERUM
  • SYSTEMATIC ANALYSIS
  • microRNA
  • RISK
  • SAMPLE

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